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    Item type:Publication,
    WLAN location determination systems
    (2006-12-01)
    Chantanetra, Soontorn
    ;
    Sangworasilp, Manas
    ;
    This paper presents method to identify the users' locations for indoor-users using wireless network devices. The method can specify wireless LAN users' positions through wireless device drivers, the same methods as Global Position System(GPS) tracking ones, based on Microsoft™ Windows™ Driver Development Kit (DDK) [10] The program developed by Visual C++. By using presented log-likelihood ratio(LLR) combined with Geometry method, the error in distance of location tracking is approximated only 0.75-1.25 meters. The experiment provides a good result, faster tracking as well as real time approach compared with another method [1][2]. ©2006 IEEE.
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    Item type:Publication,
    A cluster-based geometric approach to WLAN location determination systems
    (2006-12-01)
    Sungkhachan, P.
    ;
    ; ;
    Sangworasil, M.
    This paper presents an improvement in deterministic WLAN location determination system using triangulation method. It is a client-based approach which the online location estimation phase, K possible estimates are produced, location estimate is computed as the midpoint of all possible coordinates. The results show that locations with large estimation errors can be drastically reduced thus improvement in prediction error compared with traditional methods.